Lead Data Architect

job summary: This role is responsible for leading the design, delivery, and evolution of cloudbased, AI enabled data integration and analytics platforms to meet enterprise technology and business goals. The Lead drives architectural decisions across Informatica (onprem and cloud), public cloud services, and AIdriven data capabilities, ensuring scalable, secure, and high performance data solutions. The role partners with Product, Application, Software Engineering, Cloud Infrastructure, and Data Science teams to implement data and AI requirements, optimize platform performance, and resolve complex system engineering challenges. This position also provides technical leadership, governance, and mentorship across data, cloud, and AI initiatives.

location: Plano, Texas job type: Contract salary: $59.75 - 69.75 per hour work hours: 8am to 5pm education: Bachelors

responsibilities:

• Strong hands-on experience with Informatica onprem and Informatica Intelligent Cloud Services (IICS).
• Deep understanding of Informatica Cloud architecture, secure agents, and hybrid/cloud deployment models.
• Experience designing solutions on public cloud platforms (Azure preferred), including integration with Azure Active Directory.
• Experience delivering AI/MLenabled data pipelines that support analytics, model training, and intelligent applications.
• Hands-on experience implementing and maintaining CI /CD pipelines across multiple Orgs and SubOrgs.
• Knowledge of data replication and availability across cloud object storage (S3compatible), local file systems, and NAS.

qualifications: Strong hands-on experience with Informatica onprem and Informatica Intelligent Cloud Services (IICS).

Deep understanding of Informatica Cloud architecture, secure agents, and hybrid/cloud deployment models.

Experience designing solutions on public cloud platforms (Azure preferred), including integration with Azure Active Directory.

Experience delivering AI/MLenabled data pipelines that support analytics, model training, and intelligent applications.

Hands-on experience implementing and maintaining CI /CD pipelines across multiple Orgs and SubOrgs.

Knowledge of data replication and availability across cloud object storage (S3compatible), local file systems, and NAS.

Familiarity with Operational Insights, cloud monitoring, and AIdriven observability (preferred).

Proven experience with Incident, Problem, Change, and Service Request Management in cloud environments.

Demonstrated expertise in performance optimization, cost efficiency, and scaling cloud data workloads.

Experience mentoring teams on cloud, data engineering, and AI data best practices.

Background working in a shared services or platform engineering model.

Data, Cloud AI Platform Expertise Operational Delivery Experience

CloudNative Data Architecture

AIReady Data Engineering

Informatica Data Integration Platforms

DevOps, CI/CD Automation

Solution Design Architecture

Agile Delivery Technical Leadership

Data Quality, Lineage Governance

Cloud Security Risk Management

Observability Performance Engineering

Business Financial Acumen

EndtoEnd Solution Delivery

skills: AI Platform,AI,data and AI,Azure Active Directory,Cloud Infrastructure,cloud,Cloud Security,cloud monitoring,cloud environments,Intelligent Cloud,analytics,Data Architecture,data integration,data capabilities,data pipelines,data solutions,data replication,DevOps,Design Architecture,file systems,Informatica Cloud,data engineering,Azure,performance optimization,Software Engineering,system engineering,Financial Acumen,architecture,Automation,Data Quality,Data Science,Delivery Experience,Agile Delivery,mentoring teams,governance,intelligent applications,mentorship,model training,Performance Engineering,platform engineering,public cloud platforms,Risk Management,Service Request Management,designing solutions,Solution Delivery,cost efficiency,technical leadership

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

,

• Strong hands-on experience with Informatica onprem and Informatica Intelligent Cloud Services (IICS).
• Deep understanding of Informatica Cloud architecture, secure agents, and hybrid/cloud deployment models.
• Experience designing solutions on public cloud platforms (Azure preferred), including integration with Azure Active Directory.
• Experience delivering AI/MLenabled data pipelines that support analytics, model training, and intelligent applications.
• Hands-on experience implementing and maintaining CI /CD pipelines across multiple Orgs and SubOrgs.
• Knowledge of data replication and availability across cloud object storage (S3compatible), local file systems, and NAS.

AI Platform,AI,data and AI,Azure Active Directory,Cloud Infrastructure,cloud,Cloud Security,cloud monitoring,cloud environments,Intelligent Cloud,analytics,Data Architecture,data integration,data capabilities,data pipelines,data solutions,data replication,DevOps,Design Architecture,file systems,Informatica Cloud,data engineering,Azure,performance optimization,Software Engineering,system engineering,Financial Acumen,architecture,Automation,Data Quality,Data Science,Delivery Experience,Agile Delivery,mentoring teams,governance,intelligent applications,mentorship,model training,Performance Engineering,platform engineering,public cloud platforms,Risk Management,Service Request Management,designing solutions,Solution Delivery,cost efficiency,technical leadership